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DC Field | Value | Language |
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dc.contributor.author | Li, G | - |
dc.contributor.author | Hong, Z | - |
dc.contributor.author | Pang, Y | - |
dc.contributor.author | Xu, Y | - |
dc.contributor.author | Huang, Z | - |
dc.date.accessioned | 2022-07-13T11:13:19Z | - |
dc.date.available | 2022-07-13T11:13:19Z | - |
dc.date.issued | 2022-02-24 | - |
dc.identifier.citation | Li, G., Hong, Z., Pang, Y., Xu, Y. and Huang, Z. (2022) 'Resource allocation for sum-rate maximization in NOMA-based generalized spatial modulation', Digital Communications and Networks, 0 (In press), pp. 1- 8. doi: 10.1016/j.dcan.2022.02.005. | en_US |
dc.identifier.issn | 2468-5925 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/24887 | - |
dc.description.abstract | The Multiple-input Multiple-output (MIMO) Non-orthogonal Multiple Access (NOMA) based on Spatial Modulation (SM-MIMO-NOMA) system has been proposed to achieve better spectral efficiency with reduced radio frequency chains comparing to the traditional MIMO-NOMA system. To improve the performance of SM-MIMO-NOMA systems, we extend them to generalized spatial modulation scenarios while maintaining moderate complexity and fairness. In this paper, system spectral efficiency and transmission quality improvements are proposed by investigating a sum-rate maximization resource allocation problem that is subject to the total transmitted power, user grouping, and resource block constraints. To solve this non-convex and difficult problem, a graph-based user grouping strategy is proposed initially to maximize the mutual gains of intragroup users. An auxiliary-variable approach is then adopted to transform the power allocation subproblem into a convex one. Simulation results demonstrate that the proposed algorithm has better performance in terms of bit error rate and sum rates. | en_US |
dc.format.extent | 1 - 8 (8) | - |
dc.format.medium | Print-Electronic | - |
dc.language.iso | en_US | en_US |
dc.rights | Copyright © 2022 Chongqing University of Posts and Telecommunications. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. under a Creative Commons license (https://creativecommons.org/licenses/by-nc-nd/4.0/). | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
dc.subject | Resource allocation | en_US |
dc.subject | NOMA | en_US |
dc.subject | Spatial modulation | en_US |
dc.subject | Power allocation | en_US |
dc.subject | User grouping | en_US |
dc.title | Resource allocation for sum-rate maximization in NOMA-based generalized spatial modulation | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1016/j.dcan.2022.02.005 | - |
dc.relation.isPartOf | Digital Communications and Networks | - |
pubs.publication-status | Published | - |
dc.identifier.eissn | 2352-8648 | - |
dc.rights.holder | The Author(s) and KeAi Communications Co. Ltd. | - |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
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